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196
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ICML
2007
IEEE
16 years 7 months ago
Graph clustering with network structure indices
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
Matthew J. Rattigan, Marc Maier, David Jensen
ICML
2005
IEEE
16 years 7 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
162
Voted
APWEB
2010
Springer
15 years 11 months ago
Crawling Online Social Graphs
—Extensive research has been conducted on top of online social networks (OSNs), while little attention has been paid to the data collection process. Due to the large scale of OSN...
Shaozhi Ye, Juan Lang, Shyhtsun Felix Wu
JDM
2008
112views more  JDM 2008»
15 years 6 months ago
Reverse Engineering from an XML Document into an Extended DTD Graph
The extensible markup language (XML) has become a standard for persistent storage and data interchange via the Internet due to its openness, self-descriptiveness, and flexibility....
Herbert Shiu, Joseph Fong
CHI
2006
ACM
16 years 7 months ago
Feeling what you hear: tactile feedback for navigation of audio graphs
Access to digitally stored numerical data is currently very limited for sight impaired people. Graphs and visualizations are often used to analyze relationships between numerical ...
Steven A. Wall, Stephen A. Brewster